HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision

ECCV 2018 Xiaokun WuDaniel FinneganEamonn O'NeillYong-Liang Yang

This work presents a novel hand pose estimation framework via intermediate dense guidance map supervision. By leveraging the advantage of predicting heat maps of hand joints in detection-based methods, we propose to use dense feature maps through intermediate supervision in a regression-based framework that is not limited to the resolution of the heat map... (read more)

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